Kubit vs Statsig

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Statsig is the stronger AI pick in Product Analytics: it has a visibility score of 4 versus 0.3 for Kubit, and ranks ahead in 100% of the answers that name both.

Choose Kubit if…

Recommended as an alternative for product analytics on your own data warehouse

Choose Statsig if…

You want the brand AI engines rank higher (4 vs 0.3)
You need SOC 2 Type II or HIPAA-eligible (BAA required) coverage
You prefer a larger, established vendor (51–200 employees)
Strong fit for experimentation-focused product and growth teams

AI visibility side by side

Latest weekly run · Nov 3

Metric	Kubit	Statsig
Visibility score	0.3%	4%
Change vs last week	New	up+1.1%
Rank in Product Analytics	#26	#12
Share of voice	0.2%	2%
Mentions this run	1	10
Positive in AI answers	—	29%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Kubit +0.3pp · Statsig +1.1pp over 1 weekly runs.

Engine by engine

Statsig leads on 3 of 3 engines

ChatGPT

0.9%

7.8%

AI Mode

1.1%

Perplexity

KubitStatsig

Head to head in AI answers

1 engine answers name both brands

0Kubit ranked higher

1Statsig ranked higher

Prompt	Engine	Kubit	Statsig
Compare the leading Product Analytics platforms	ChatGPT	#8	#6

Features, pricing & fit

Dimension	Kubit	Statsig
Pricing model	—	Usage-based
Entry price	—	Free; paid from $150 / mo
Free plan	—	Yes
Deployment	Runs inside the customer's own data warehouse, with no SDK or pipeline to install.	Hosted by Statsig, or deployed in the customer's data warehouse
Compliance	—	SOC 2 Type II, HIPAA-eligible (BAA required)
Support	Email support@kubit.ai, /kubit:support command in Claude Code	Slack Community, Premium support with a private Slack channel, Accelerated onboarding session, Priority support on Enterprise
Founded	2018	2021
Headquarters	Los Altos, California, US	San Francisco, California, United States
Employees	11–50	51–200
Funding	Series A, led by Insight Partners with Shasta Ventures and TSVC · $24M raised	Series C · $153M raised
Best for	Teams running AI agents that want to find failure patterns in traces already stored in their data warehouse.	Engineering, product and data teams at companies of all sizes that want experimentation, feature flags and analytics on one platform.